This app is used to let the student learn about the concept of allocation method used in stratified random sampling.
Author / Neil Hatfield
Bayesian Inference and Hypothesis Testing
This app is focused on the Bayesian inference, Bayesian hypothesis testing and Bayes factor.
Discrete Distributions
This app focuses on Bernoulli, Binomial, Hypergeometric, Geometric and Negative Binomial distributions. This app would explore different sample spaces and sample paths. Also, it would help users to choose suitable distribution in actual life scenario and show the Probability Mass Function graphs about that distribution.
Exploring R-squared
This app helps student learn about the R-squared and Partial R-squared statistics.
Multiplicative Interaction
This app is focused on the Multiplicative Interaction. The student will learn to determine if there is an interaction in the plot and it can help students understand the difference between with interaction and without interaction.
P-Value Function and Hypothesis Testing
This app is focused on the p-value function and hypothesis testing for one sample proportion and mean.
Sampling Songs to Poems
This app is used to let the student learn about the concept of all four sampling methods: cluster, stratified, systematic, and simple random sampling.
Want to contribute a song to the app? You can do so via our Google Form: Add Songs to the Song Poems App. (Note: you will need to (re-)launch the app after successfully adding new songs to see them.)
Simulations in Context
Learn how simulations come together in specific scenarios. Read through context and link key terms to their meanings. Then create a simulation that accurately reflects the situation.
Wilcoxon Rank Tests
This app allows students to explore the concept of two non-parametric tests called Wilcoxon Signed Rank Test for one sample data or two sample unpaired data and Wilcoxon Rank Sum Test for two sample paired data.